In a random sample of 400 watches, 3 are defective. Out of a total of 10,500 watches, how many would you expect to be defective based on this sample data?(1 point)

Answer 1

Based on this sample data, we can assume that the proportion of defective watches in the entire population is 3/400, which simplifies to 0.0075 or 0.75%.

Using this proportion, we can estimate the number of defective watches in the entire population by multiplying it by the total number of watches:

0.0075 x 10,500 = 78.75

Therefore, we would expect approximately 78 watches to be defective out of a total of 10,500 watches based on this sample data.

Answer 2

its 78